Isaca Updated CRISC Exam Questions and Answers by harri

Data classification is the process of assigning labels or categories to data based on its sensitivity, value, and criticality to the organization. Data classification is the first consideration when analyzing the risk associated with the web application hosted by a cloud service, as it determines the level of protection and controls required for the data. Data classification can help the organization to comply with legal, regulatory, and contractual obligations, such as GDPR,CCPA, and PCI DSS, and to prevent data breaches, leaks, or losses. Data classification can also help the organization to evaluate the suitability and trustworthiness of the cloud service provider, and to negotiate the terms and conditions of the service level agreement (SLA).

Inherent risk is the most likely to increase as a result of the new initiative, because it is the risk that exists before any controls or mitigating factors are applied. Inherent risk reflects the natural or raw level of exposure that the organization faces from a given risk source or scenario. Accepting credit card payments from customers via the corporate website introduces new sources and types of risk, such as fraud, theft, data breach, or non-compliance, that increase the inherent risk level of the organization. Risk tolerance, risk appetite, and residual risk are all related to the risk management process, but they are not the most likely to increase as a result of the new initiative, as they depend on the organization’s risk strategy, objectives, and controls. References = Risk and Information Systems Control Study Manual, Chapter 2, Section 2.3.1, page 51

Biased recommendations from AI models can perpetuate or exacerbate organizational risks, especially in decision-making processes, regulatory compliance, and ethical standards. Addressing such concerns is vital under theEmerging Technology Risksdomain in risk management.

The greatest risk associated with inappropriate classification of data is users having unauthorized access to sensitive information. Proper data classification ensures that access controls are applied appropriately, protecting sensitive data from unauthorized access.

Importance of Data Classification

Data classification involves categorizing data based on its level of sensitivity and the impact that unauthorized access, disclosure, modification, or destruction would have on the organization.

It ensures that appropriate security measures are applied according to the data's classification.

Risks of Inappropriate Classification

Unauthorized Access: If data is not classified correctly, sensitive information may not receive the necessary protections, leading to unauthorized access.

Lack of Accountability: Misclassification can result in unclear responsibilities for data protection, but the primary concern remains unauthorized access.

Inaccurate Recovery Time Objectives (RTOs): While important, this is secondary to the risk of unauthorized access.

Inaccurate Record Management Data: This can affect operational efficiency but is not as critical as unauthorized access.

Implementing Effective Classification

Organizations must have a clear data classification policy and ensure it is followed consistently.

Regular audits and reviews should be conducted to verify that data is classified appropriately and that access controls are enforced.

References

CISM Review Manual Full text.html, emphasizing the importance of proper data classification and the risks associated with misclassification, especially unauthorized access to data​​.